Private Agentic AI for the Enterprise

Private AI that runs where your data lives.

Generate turns enterprise data into governed intelligence that employees and AI agents can query, analyze, and act on — entirely within your perimeter, without data leaving your environment.
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Generate Platform screenshot of an agent

20 min

Turnkey Deployment

200+

Pre-built Agent Templates

3 min

Agent spinup from template

55+

Third-party Connectors

8

Database Integration

0

Data Egress by Design

What is Generate?

Generate is an on-prem agentic AI platform that lets enterprises deploy private AI assistants and agents without sending data outside their environment. It combines private LLM inference, no-code workflow orchestration, and enterprise data connectivity in a single production-ready system, deployable in under 20 minutes across on-premises, private cloud, or edge infrastructure.

Private by Design

Runs local, on-prem, or in private cloud with zero data egress by design.
Workflow design showing start, search bugs, filter critical, escalation check, and end nodes.

Understands Your Business

Works across enterprise documents, systems, storage, and databases without forcing replatforming
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Agents that Take Action

Power repeatable workflows that route, summarize, extract, analyze, and generate outputs.
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True AI sovereignty takes more than
private access.

To own your AI future, you need control over the three things that matter most: your data, your models, and your hardware.
Anything less is just access.
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Data

Your data stays where it belongs — inside your perimeter, governed by your policies, and never exposed to shared AI services.

Models

Use, tune, and control the models that power your workflows. Own what you build instead of depending on opaque external systems.

Hardware

Run inference on infrastructure you control, from private cloud to on-prem systems and edge deployments.

The problem

Enterprise AI pilots break when they meet production reality.

Cloud AI risks your data. Custom AI takes months. Point solutions leave gaps. Enterprises need all three problems solved at once.

Cloud AI exposes too much

Public AI tools route sensitive data through third-party infrastructure, creating compliance risk and unpredictable per-token costs that scale against you, not with you.

Custom AI builds take too long

In-house AI builds require months of engineering, dedicated ML talent, and ongoing maintenance. By the time it ships, the requirements have already changed.

Point solutions do too little

Single-purpose AI tools solve one workflow and stop there. Teams end up stitching together a dozen disconnected point solutions, each with its own interface, data silo, and maintenance cost.
The solution

Generate gives enterprises a complete private AI stack.

Generate brings together data connectivity, private inference, agent templates, workflow orchestration, governance, and artifact generation in one production-ready platform.
  • Connect enterprise data
  • Deploy private LLMs and SLMs
  • Build no-code workflows
  • Orchestrate agents with SuperAgent
  • Govern usage and cost
  • Generate interactive outputs
Dashboard mockup

Visual proof of a platform, not just a prompt box.

Dashboard showing six agent templates like API health checker and account dashboards with brief descriptions.Workflow diagram starts at Start, parses APIs, and loops APIs with connectors and side panel of tools.Webpage showing security and compliance summary with checklist including GDPR, ISO, encryption, and audit features.

Everything teams need to build and run private AI agents.

Everything teams need to build and run private agents

From private data to governed AI agents.

Connect your data

Connect files, databases, business systems, and storage without moving sensitive data outside your environment.

Structure knowledge for retrieval

Create searchable, governed intelligence from documents, records, and operational data.

Deploy agents and workflows

Launch pre-built agents or build custom workflows with no-code orchestration.

Govern, observe, and optimize

Track usage, enforce policies, monitor cost, and scale private AI across teams.
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Built for private AI in production.

Generate turns enterprise storage from passive infrastructure into an active intelligence layer, so agents work directly against governed enterprise storage instead of around it.
Architecture Proof List
  • K3s for lightweight orchestration
  • vLLM for GPU-accelerated inference
  • Milvus for vector search
  • Kafka for streaming
  • NetApp ONTAP integration
  • PostgreSQL / Redis / Milvus auto-provisioning
  • gVisor sandboxing
  • Kyverno image verification
Storage Intelligence Callouts
  • Direct connection to ONTAP shares
  • NFS and SMB support
  • No data migration required
  • Agents operate where data already lives
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From private data to governed AI agents.

Generate Healthcare Agent CardGenerate SLED Agent CardGenerate Financial Services and Insurance Agent CardGenerate Technology and IT Agent CardGenerate Enterprise Knowledge Assistant Agent CardGenerate Compliance and Policy Assistant Agent Card

Different stakeholders need different proof.

Businesspeople sitting at a conference table in a meeting, smiling and engaged in discussion.

C-Suite

The architecture decisions you make about AI today will define what your enterprise can do, build, and own for the next decade.
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Compliance Officers

Keep data inside your perimeter with audit trails, policy enforcement, and zero data egress by design.
Woman wearing glasses working on a laptop with futuristic digital data graphics overlay.

IT Leaders

Deploy a complete private AI stack in under 20 minutes — without Kubernetes expertise.
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Business Users

Launch agents from templates, build workflows visually, and automate work without waiting in a development backlog.

Private AI is an architecture decision.

Public AI tools deploy fast but offer no data control or sovereignty. Custom builds deliver full control but take months to build. Private API products land in between, better on data egress, still limited on auditability and control. Generate is the only option with full architectural control and fast deployment together.

Capability
Public AI tools
Private API products
Custom builds
Generate
Zero data egress
No per-token cloud economics
Full auditability
Limited
Enterprise-controlled deployment
Limited
Control over data, models, and hardware
Limited
No external inference dependency
Offline-capable deployment
Limited
True AI sovereignty
Limited
Fast deployment
No ML expertise required to start
Pre-built templates and governance
Limited
Production-ready architecture out of the box
Limited

Connect the tools, systems, and data your teams already use.

55+ third-party connectors, 8 database integrations, and direct support for enterprise files.

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Governed by design, not bolted on later.

  • Zero data egress
  • Customer-controlled deployment
  • Centralized policy enforcement
  • Immutable audit trails
  • Cost controls and observability
  • Offline-capable operation
Dashboard mockup

Generate Agentic AI Suite

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Healthcare

Helping leading healthcare systems, hospitals, and insurers recover lost revenue and reduce claim denials through secure, private AI automation.
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Nano Offline

An offline AI engine that runs large language models directly on Qualcomm-powered Android devices. It brings Generative AI to the edge — no internet, no latency, no data leaving the device.
Learn more
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Private Edge

Deploy AI where your data lives, inside your firewall. Generate for Private Edge runs on AI PCs, on-prem appliances, and private-cloud systems to deliver air-gapped intelligence with complete data sovereignty.
Learn more
Glowing data streams flow into and out of a futuristic server rack in a dark room.

Private Storage

Turn dormant enterprise storage into a living intelligence engine. Generate for Private Storage transforms petabytes of unstructured data into secure, searchable insights without ever leaving your infrastructure.
Learn more

Frequently asked questions

What is Generate by Iterate.ai and how does it differ from public AI tools?
Generate is a private AI assistant platform that runs entirely within your enterprise environment—on-premises, in private cloud, or at the edge—with zero data egress by design. Unlike public AI tools like ChatGPT that send your data to external servers, Generate keeps your enterprise data, intellectual property, and sensitive information inside your perimeter. The platform provides private LLM management, RAG-powered search, and agentic AI capabilities for highly regulated organizations in healthcare, finance, and other industries requiring stringent privacy controls.
How quickly can we deploy Generate in our enterprise environment?
Generate deploys in under 20 minutes without requiring Kubernetes expertise. The platform offers turnkey deployment with 200+ pre-built agent templates and 3-minute agent spinup from templates. Through the strategic alliance with NetApp, enterprises can access a pre-validated system combining Generate with NetApp AIPod Mini for seamless on-premises deployment—eliminating the lengthy custom build cycles that typically take months.
How does Generate ensure data privacy and compliance?
Generate is built with zero data egress by design—your data never leaves your environment. All LLM processing happens locally within your private cloud or on-premises infrastructure, eliminating internet exposure and cloud overage charges. The platform provides customer-controlled deployment, centralized policy enforcement, immutable audit trails, and offline-capable operation. This architecture ensures compliance with HIPAA, GDPR, and other stringent privacy regulations while maintaining full auditability and governance controls.
Does Generate work with our existing enterprise data and systems?
Yes. Generate integrates with 55+ third-party connectors, 8 database integrations, and supports direct connection to enterprise files and storage systems. The platform includes direct NetApp ONTAP integration with NFS and SMB support, allowing agents to operate where data already lives. Your data stays in your existing infrastructure while becoming instantly queryable and actionable through AI—no replatforming or data migration required.
Can non-technical users build AI workflows with Generate?
Yes. Generate includes no-code workflow orchestration that allows business users to launch agents from 200+ pre-built templates and build custom workflows visually. The platform features "Agentic AI Cards" designed for vertical-specific tasks—from analyzing earnings calls to generating healthcare procedure growth reports to drafting RFPs. Business users can automate work without waiting in development backlogs, while IT teams maintain governance and control.
How does Generate help control AI costs compared to cloud-based solutions?
Generate eliminates per-token cloud economics by running inference on infrastructure you control. By running 32B parameter private LLMs locally at 60-80 tokens per second on AMD Ryzen AI PRO or Intel hardware, enterprises gain predictable AI economics without ongoing per-query costs. The platform provides cost controls, usage observability, and eliminates unpredictable cloud overage charges—turning AI from an operational expense into a controlled capital investment with measurable ROI.
What deployment options does Generate support?
Generate supports flexible deployment across on-premises, private cloud, edge devices, and offline environments. The platform runs on infrastructure you control, including AI PCs powered by Intel Xeon processors, Intel Gaudi AI accelerators, AMD Ryzen AI PRO processors, and Qualcomm-powered Android devices. Specialized options include Generate Nano Offline (runs LLMs on edge devices with no internet), Generate for Private Edge (air-gapped intelligence on AI PCs), and Generate for Private Storage (transforms enterprise storage into searchable intelligence).

Bring AI to your enterprise data without giving up control.

See how Generate helps teams deploy private, governed AI agents inside the environment they already control.
Schedule a Demo